Production AI faster
From curation to collaboration, Labelbox’s training data platform gives you everything you need in a single place to more quickly build better AI products.
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Everything in one place
Leverage an end-to-end system that features the full set of capabilities needed to improve your model’s performance.
Catalog
Quickly search and visualize all of your unstructured data to reduce both time and labeling spend. Prioritize and select the most important data.
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Annotate
Access a full suite of labeling, collaboration and quality tools that give you full visibility and control. Leverage automation and custom workflows to make progress as quickly as possible.
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Model
Track model performance across versions and manage data splits. Understand where your model is strong and weak, then fix data that will most dramatically improve performance.
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Save time through automation
Labelbox employs automation everywhere there is an opportunity to make you more efficient. Data split management, auto-segmentation and model-assisted pre-labeling give you a huge head start in improving your next model run.
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Label less and improve your model faster
Find the data that will boost model performance using active learning and model error analysis. Save time and money by focusing resources where your specific model needs the most help.
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Labeling services on-demand
Get started immediately with a world-class data labeling workforce designed for your needs. Easily scale up or down as your AI initiatives evolve.
Learn moreTrusted by companies fueled by AI
“With Labelbox, we’re able to generate high-quality annotations by allowing our team of domain experts and labelers to collaborate more efficiently. The workflow we’ve built queues up all the work for our labelers to create image annotations, which are then sampled and reviewed by experts, and fed into ML models to make better AI diagnoses.”
- Miao Zhang, AI Scientist
“Reducing our data requirements is huge because we can get the same amount of improvement in our model’s performance in half the time and with half the effort. This was enabled through targeting the model’s weaknesses with Labelbox’s Model product and then being able to prioritize the right data through Catalog. By doing so, we’ve reduced our labeling spend and data needs by over 50%.”
- Noe Barrell, ML Engineer
“AI has been crucial for us to accomplish our goals and we’re using Labelbox in many of our projects and processes. It allows us to standardize how we create and manage data all in a single location and using their automation features, we’ve seen a reduction in labeling times by 2x.”
- Christian Howes, ML Engineer